Strong noise attenuation method based on the multiuser kurtosis criterion

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Abstract The strong noise produced by the leakage of electricity from marine seismic streamers is often received with seismic signals during marine seismic exploration. Traditional denoising methods show unsatisfactory effects when eliminating strong noise of this kind. Assuming that the strong noise signals have the same statistical properties, a blind source separation (BSS) algorithm is proposed in this paper that results in a new denoising algorithm based on the constrained multi-user kurtosis (MUK) optimization criterion. This method can separate strong noise that shares the same statistical properties as the seismic data records and then eliminate them. Theoretical and field data processing all show that the denoising algorithm, based on multi-user kurtosis optimization criterion, is valid for eliminating the strong noise which is produced by the leakage of electricity from the marine seismic streamer so as to preserve more effective signals and increase the signal-noise ratio. This method is feasible and widely applicable.

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	GAO Wei
	LIU Huai-Shan

Key words： denoising blind source separation multiuser kurtosis strong noise

Received: 2012-04-11;

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This work is supported by the National Natural Science Foundation of China (No. 41176077) and the State Oceanic Administration Young Marine Science Foundation (No. 2013702).

Cite this article:

GAO Wei,LIU Huai-Shan. Strong noise attenuation method based on the multiuser kurtosis criterion[J]. APPLIED GEOPHYSICS, 2013, 10(1): 25-32.

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